Skill Track

Time Series with Python

Time series data is one of the most common data types and understanding how to work with it is a critical data science skill if you want to make predictions and report on trends. In this track, you'll learn how to manipulate time series data using pandas, work with statistical libraries including NumPy and statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and seaborn. You'll then apply your time series skills using real-world data, including financial stock data, UFO sightings, CO2 levels in Maui, monthly candy production in the US, and heartbeat sounds. By the end of this track, you'll know how to forecast the future using ARIMA class models and generate predictions and insights using machine learning models.

  • Python
  • 20 hours
  • 5 courses
1
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Manipulating Time Series Data in Python

In this course you'll learn the basics of working with time series data.

4 hours
Stefan Jansen

Founder & Lead Data Scientist at Applied Artificial Intelligence

Instructors

Stefan Jansen

Founder & Lead Data Scientist at Applied Artificial Intelligence

Rob Reider

Consultant at Quantopian and Adjunct Professor at NYU

Thomas Vincent

Head of Data Science at Getty Images

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